Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

Objective: Choosing an appropriate method for regression analyses of cost data is problematic because it must focus on population means while taking into account the typically skewed distribution of ...

Reviewed by Thomas J. Catalano Fact checked by Melody Kazel Linear Regression vs. Multiple Regression: An Overview Linear regression (also called simple regression) is one of the most common ...